I don’t usually write about security, but as a frequent user of Claude Code, I felt the recent news of the s1ngularity attack warrants special attention. Just as we all started to rely on AI CLI tools like Claude and Gemini to enhance our work, hackers just exploited them in a real supply-chain attack. It’s the first time we’ve seen this in the wild.

I spent more than 40 hours building a JavaScript-based game (which you can play here). I use Python day to day, and operating in a new language and framework with a new AI tool presented a steep learning curve. In this post, I share some learnings.

In the world of modern software development, few libraries have had as transformative an impact as Pydantic. What began as Samuel Colvin’s elegant solution to Python’s data validation challenges has evolved into the foundational layer powering everything from high-performance web APIs to cutting-edge AI applications. Today, Pydantic sits at the center of an ecosystem that has become indispensable for developers building reliable, production-ready systems.